Video Game Sales
This example presents a React-based visualization of video game sales data from Kaggle, loaded and parsed from CSV. It shows the raw structure of the dataset by displaying the first record as a JSON object in a formatted `<pre>` element. The code converts numeric fields such as sales figures and scores from strings to numbers during initialization, preparing the data for analysis. Using basic DOM manipulation via `innerHTML`, the visualization outputs the parsed data at a large font size for easy inspection, demonstrating a simple data-loading and display workflow rather than a complex graphical chart.
AI-generated descriptionThe (https://www.kaggle.com/datasets/rush4ratio/video-game-sales-with-ratings)), loaded and parsed as CSV.
Five specific tasks can be performed with respect to the data:
- Analyze the correlation between critic score and global sales. Task type: Compare correlation.
- Understand the geographic distribution of sales (NA, EU, JP, and Other regions) for different genres. Task type: Explore spatial.
- Observe how global sales of video games have changed over time (Year of Release). Task type: Discover temporal trends.
- Identify subsets of games with high user scores and high global sales. Task type: Identify extremum (high values).
- Examine the distribution of critic and user scores across different platforms. Task type: Distribution.
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